planning:calculating_energy_efficiency:dynamic_simulation

Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Both sides previous revisionPrevious revision
Next revision
Previous revision
planning:calculating_energy_efficiency:dynamic_simulation [2020/08/07 22:54] – [Dynamic simulation of a building's thermal performance] wfeistplanning:calculating_energy_efficiency:dynamic_simulation [2020/08/07 23:26] (current) – [Dynamic Simulation using DYNBIL] wfeist
Line 1: Line 1:
 ====== Dynamic simulation of a building's thermal performance ====== ====== Dynamic simulation of a building's thermal performance ======
  
-\\+==== Dynamic Simulation using DYNBIL ==== 
 |{{:picopen:network_eng_s.png|}}| |{{:picopen:network_eng_s.png|}}|
 |Fig. 1 A typical room model used in instationary simulation of a buildings \\ thermal performance; this is the model-type used \\ in the program DYNBIL [Feist 1994]| |Fig. 1 A typical room model used in instationary simulation of a buildings \\ thermal performance; this is the model-type used \\ in the program DYNBIL [Feist 1994]|
 \\ \\
- 
-Dynamic Simulation using DYNBIL 
- 
 Dynbil is a multizone dynamic thermal building simulation program developed at the Passive House Institute. Dynbil also takes into account moisture storage and moisture transport processes. The room model works with one air node and one radiation node, which are clearly separated from each other. Heat transmitted to interior surfaces is calculated depending on the location in the room and the actual temperature difference; for exterior surfaces, the complete solar and infrared radiation balance and the influence of wind speed are taken into account. Heat transfer (radiative and convective/conductive) and g-values are calculated for windows depending on the current temperature and solar radiation in each period of time (nonlinear). The wall model uses not transfer functions but uses a forward difference method, thereby fulfilling the conservation of energy principle even over long periods of time. The program was first validated under Central and North European climatic conditions with a number of construction projects measured in detail. Dynbil is a multizone dynamic thermal building simulation program developed at the Passive House Institute. Dynbil also takes into account moisture storage and moisture transport processes. The room model works with one air node and one radiation node, which are clearly separated from each other. Heat transmitted to interior surfaces is calculated depending on the location in the room and the actual temperature difference; for exterior surfaces, the complete solar and infrared radiation balance and the influence of wind speed are taken into account. Heat transfer (radiative and convective/conductive) and g-values are calculated for windows depending on the current temperature and solar radiation in each period of time (nonlinear). The wall model uses not transfer functions but uses a forward difference method, thereby fulfilling the conservation of energy principle even over long periods of time. The program was first validated under Central and North European climatic conditions with a number of construction projects measured in detail.
  
Line 13: Line 11:
  
 In the meantime, additional features have been added such as simulations of moisture transport and ventilation models. In the meantime, additional features have been added such as simulations of moisture transport and ventilation models.
-Although DYNBIL models the building components very accurately (see e.g. comparison of simulated and measured temperatures within the wall), the focus is the whole building perspective. The entire building  defines the system boundary. All energy fluxes are part of the model, including all electric appliances. This makes it possible to simulate the internal heat gains. General assumptions on heat gains may be tolerable for energy inefficient buildings, but lead to high differences in the calculated demand as soon as heating and/or cooling demands are very low.+Although DYNBIL models the building components very accurately (see e.g. comparison of simulated and measured temperatures within the wall), the focus is the whole building perspective (fig. 2). The entire building  defines the system boundary. All energy fluxes are part of the model, including all electric appliances. This makes it possible to simulate the internal heat gains. General assumptions on heat gains may be tolerable for energy inefficient buildings, but lead to high differences in the calculated demand as soon as heating and/or cooling demands are very low.
 Another aspect of the whole building approach is the integration of all system components including the consideration of thermal comfort, ventilation, air quality, noise protection, user friendliness, building protection. Another aspect of the whole building approach is the integration of all system components including the consideration of thermal comfort, ventilation, air quality, noise protection, user friendliness, building protection.
-Dynbil has been validated with the detailed measurements in the first Passive House (located in Darmstadt Kranichstein). It had been possible to predict the energy consumptions, as well as to test several variations of the model itself. DYNBIL is also the basis for the development of stationary tools.+ 
 +|{{:picopen:Dynbil_multizonal.png|}}| 
 +|Fig. 2 Several zones will be connected to a building model with air flows between the zones as well as components connecting the different zones.| 
 + 
 +Dynbil has been validated with the detailed measurements in the first Passive House (located in Darmstadt Kranichstein; see fif. 3). It had been possible to predict the energy consumptions, as well as to test several variations of the model itself. DYNBIL is also the basis for the development of stationary tools. 
 + 
 +|{{:picopen:compare_meas_Dynbil.png|}}| 
 +|Fig. 3 Comparison of measured temperatur developments and the simulation with the DYNBIL model for room air temperature and temperatures at the surface and inside the west facing well.| 
  
 ==== General Considerations on Models used for Simulation ==== ==== General Considerations on Models used for Simulation ====
planning/calculating_energy_efficiency/dynamic_simulation.1596833690.txt.gz · Last modified: 2020/08/07 22:54 by wfeist